Spatio-temporal spike train analysis for large scale networks using the maximum entropy principle and Monte Carlo method, Journal of Statistical Mechanics: Theory and Experiment, vol.2013, issue.03 ,
DOI : 10.1088/1742-5468/2013/03/P03006
URL : https://hal.archives-ouvertes.fr/hal-00846160
Gibbs distribution analysis of temporal correlations structure in retina ganglion cells, Journal of Physiology-Paris, vol.106, issue.3-4, pp.3-4120 ,
DOI : 10.1016/j.jphysparis.2011.11.001
URL : https://hal.archives-ouvertes.fr/hal-00846132
Weak pairwise correlations imply strongly correlated network states in a neural population, Nature, vol.37, issue.7087, pp.4401007-1012, 2006. ,
DOI : 10.1038/nature04701
Prediction and Decoding of Retinal Ganglion Cell Responses with a Probabilistic Spiking Model, Journal of Neuroscience, vol.25, issue.47, pp.11003-11013, 2005. ,
DOI : 10.1523/JNEUROSCI.3305-05.2005
Efficient Markov Chain Monte Carlo Methods for Decoding Neural Spike Trains, Neural Computation, vol.79, issue.1, pp.46-96, 2001. ,
DOI : 10.1152/jn.90941.2008
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4740351